| N_sites | N_counts | N_detections | rep_period | iterations | burnin | thin |
|---|---|---|---|---|---|---|
| 127 | 496 | 167 | 7 days | 120000 | 20000 | 10 |
| Yr | 2016 | 2017 | 2018 | 2019 | 2020 |
| sites | 19 | 31 | 19 | 32 | 26 |
| detections | 13 | 63 | 17 | 50 | 24 |
| N.dot.model | 4 | 15 | 10 | 54 | 41 |
| model | description | WAIC | N.total.est |
|---|---|---|---|
| fm7 | counts | 13.78466 | 127 |
| fm4 | lure + jdt | 825.63785 | 144 |
| fm6 | lure + jdt + jdtSq | 830.08352 | 144 |
| fm2 | jdt | 841.75801 | 99 |
| fm5 | jdt + jdtSq | 846.14263 | 101 |
| fm1 | dot | 1096.23128 | 124 |
| fm3 | lure | 1117.58635 | 106 |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| p[1] | NA | 8149 | 0.151 | 0.15 | 0.08 | 0.22 | 0 | 1.001 |
| p[2] | NA | 7043 | 0.163 | 0.159 | 0.12 | 0.20 | 0 | 1.001 |
| p[3] | NA | 3588 | 0.034 | 0.031 | 0.01 | 0.06 | 0 | 1.0009 |
| p[4] | NA | 1347 | 0.033 | 0.031 | 0.01 | 0.05 | 0 | 1.0009 |
| p[5] | NA | 704 | 0.021 | 0.015 | 0.00 | 0.04 | 0 | 0.9981 |
| lambda[1] | NA | 9289 | 0.238 | 0.191 | 0.06 | 0.41 | 0 | 1.0007 |
| lambda[2] | NA | 9517 | 0.545 | 0.5 | 0.29 | 0.78 | 0 | 1.001 |
| lambda[3] | NA | 1875 | 0.905 | 0.714 | 0.30 | 1.46 | 0 | 1.001 |
| lambda[4] | NA | 441 | 2.042 | 1.458 | 0.80 | 3.15 | 0 | 1.0009 |
| lambda[5] | NA | 219 | 2.313 | 0.993 | 0.37 | 4.44 | 0 | 1.0011 |
| N[93] | NA | 1262 | 2.206 | 1 | 1.00 | 4.00 | 0 | 1.0006 |
| N[67] | NA | 3061 | 3.320 | 2.994 | 2.00 | 5.00 | 0 | 1.001 |
| N[94] | NA | 1186 | 2.931 | 2.002 | 1.00 | 5.00 | 0 | 1 |
| N[6] | NA | 9301 | 0.016 | err | 0.00 | 0.00 | err | err |
| N[7] | NA | 9323 | 0.019 | err | 0.00 | 0.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | jdt | 1729 | 2.131 | 2.127 | 1.84 | 2.43 | 0 | 1.001 |
| alpha0 | NA | 1555 | -4.439 | -4.426 | -4.84 | -4.00 | 0 | 1.001 |
| lambda[1] | NA | 6993 | 0.438 | 0.326 | 0.12 | 0.74 | 0 | 1.0008 |
| lambda[2] | NA | 6067 | 1.226 | 1.119 | 0.68 | 1.77 | 0 | 1.001 |
| lambda[3] | NA | 5764 | 0.941 | 0.775 | 0.41 | 1.41 | 0 | 1.001 |
| lambda[4] | NA | 8725 | 0.968 | 0.899 | 0.62 | 1.31 | 0 | 1.001 |
| lambda[5] | NA | 6517 | 1.042 | 1.014 | 0.57 | 1.54 | 0 | 1.001 |
| N[70] | NA | 10000 | 0.940 | 0 | 0.00 | 2.00 | 1 | err |
| N[115] | NA | 9429 | 1.375 | 1 | 1.00 | 2.00 | 0 | 1 |
| N[25] | NA | 8888 | 0.159 | err | 0.00 | 1.00 | err | err |
| N[91] | NA | 8260 | 1.308 | 1 | 1.00 | 2.00 | 0 | 1 |
| N[55] | NA | 9635 | 0.307 | 0 | 0.00 | 1.00 | 1 | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | lure | 7925 | 0.111 | 0.108 | -0.03 | 0.25 | 0.45582 | 0.8975 |
| alpha0 | NA | 2938 | -2.947 | -2.897 | -3.19 | -2.66 | 0 | 1.001 |
| lambda[1] | NA | 6706 | 0.491 | 0.346 | 0.13 | 0.83 | 0 | 1.0008 |
| lambda[2] | NA | 4063 | 1.618 | 1.415 | 0.92 | 2.31 | 0 | 1.001 |
| lambda[3] | NA | 8753 | 0.626 | 0.575 | 0.28 | 0.94 | 0 | 1.001 |
| lambda[4] | NA | 4719 | 1.245 | 1.143 | 0.77 | 1.70 | 0 | 1.001 |
| lambda[5] | NA | 7793 | 0.672 | 0.625 | 0.35 | 0.98 | 0 | 1.001 |
| N[76] | NA | 8238 | 2.143 | 1.999 | 1.00 | 3.00 | 0 | 1.0006 |
| N[47] | NA | 7902 | 2.167 | 1 | 1.00 | 3.00 | 0 | 1.0006 |
| N[94] | NA | 8644 | 1.954 | 2.003 | 1.00 | 3.00 | 0 | 1.0005 |
| N[65] | NA | 9433 | 1.323 | 1 | 1.00 | 2.00 | 0 | 1 |
| N[41] | NA | 7868 | 0.271 | err | 0.00 | 1.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | lureDays | 1747 | -0.649 | -0.659 | -0.86 | -0.42 | 0 | 1.001 |
| alpha[2] | julianDt | 1008 | 2.513 | 2.503 | 2.18 | 2.87 | 0 | 1.001 |
| alpha0 | NA | 964 | -4.769 | -4.728 | -5.24 | -4.27 | 0 | 1.001 |
| lambda[1] | NA | 9701 | 0.321 | 0.228 | 0.09 | 0.55 | 0 | 1.0008 |
| lambda[2] | NA | 8080 | 0.917 | 0.842 | 0.50 | 1.32 | 0 | 1.001 |
| lambda[3] | NA | 7673 | 0.797 | 0.71 | 0.36 | 1.19 | 0 | 1.001 |
| lambda[4] | NA | 8268 | 1.018 | 0.958 | 0.64 | 1.37 | 0 | 1.001 |
| lambda[5] | NA | 1453 | 3.206 | 2.439 | 1.23 | 5.14 | 0 | 1.001 |
| N[62] | NA | 7131 | 1.192 | err | 1.00 | 2.00 | err | err |
| N[31] | NA | 9461 | 0.014 | err | 0.00 | 0.00 | err | err |
| N[11] | NA | 10000 | 0.054 | err | 0.00 | 0.00 | err | err |
| N[70] | NA | 10000 | 1.012 | 0 | 0.00 | 2.00 | 1 | err |
| N[61] | NA | 9658 | 0.183 | err | 0.00 | 1.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | julianDt | 141 | 2.997 | 2.84 | 1.97 | 4.16 | 0 | 1.001 |
| alpha[2] | julianDtSq | 156 | -0.435 | -0.406 | -0.96 | 0.10 | 0.42233 | 0.9072 |
| alpha0 | NA | 158 | -4.869 | -4.766 | -5.51 | -4.14 | 0 | 1.001 |
| lambda[1] | NA | 8056 | 0.423 | 0.312 | 0.11 | 0.71 | 0 | 1.0008 |
| lambda[2] | NA | 5761 | 1.243 | 1.117 | 0.68 | 1.77 | 0 | 1.001 |
| lambda[3] | NA | 6722 | 0.915 | 0.776 | 0.40 | 1.37 | 0 | 1.001 |
| lambda[4] | NA | 8269 | 0.981 | 0.933 | 0.62 | 1.32 | 0 | 1.001 |
| lambda[5] | NA | 5687 | 1.016 | 0.951 | 0.53 | 1.47 | 0 | 1.001 |
| N[51] | NA | 8846 | 0.546 | 0 | 0.00 | 2.00 | 1 | err |
| N[74] | NA | 8743 | 0.063 | err | 0.00 | 0.00 | err | err |
| N[5] | NA | 8542 | 1.923 | 2.002 | 1.00 | 3.00 | 0 | 1.0005 |
| N[122] | NA | 7869 | 2.015 | 1 | 1.00 | 3.00 | 0 | 1.0005 |
| N[113] | NA | 9708 | 0.353 | 0 | 0.00 | 1.00 | 1 | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | lureDays | 1843 | -0.647 | -0.607 | -0.86 | -0.41 | 0 | 1.001 |
| alpha[2] | julianDt | 215 | 2.668 | 2.522 | 1.77 | 3.58 | 0 | 1.001 |
| alpha[3] | julianDtSq | 296 | -0.075 | -0.045 | -0.55 | 0.36 | 0.97918 | 0.5954 |
| alpha0 | NA | 372 | -4.852 | -4.756 | -5.48 | -4.24 | 0 | 1.001 |
| lambda[1] | NA | 9067 | 0.319 | 0.228 | 0.09 | 0.55 | 0 | 1.0007 |
| lambda[2] | NA | 7735 | 0.911 | 0.858 | 0.49 | 1.30 | 0 | 1.001 |
| lambda[3] | NA | 7503 | 0.798 | 0.707 | 0.37 | 1.22 | 0 | 1.001 |
| lambda[4] | NA | 7153 | 1.022 | 0.948 | 0.65 | 1.39 | 0 | 1.001 |
| lambda[5] | NA | 1409 | 3.209 | 2.263 | 1.24 | 5.20 | 0 | 1.001 |
| N[44] | NA | 10000 | 0.908 | 0 | 0.00 | 2.00 | 1 | err |
| N[29] | NA | 8185 | 0.896 | 0 | 0.00 | 2.00 | 1 | err |
| N[34] | NA | 10000 | 0.075 | err | 0.00 | 0.00 | err | err |
| N[20] | NA | 10000 | 0.890 | 0 | 0.00 | 2.00 | 1 | err |
| N[78] | NA | 10000 | 0.997 | 0 | 0.00 | 2.00 | 1 | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | counts | 7181 | 13.500 | 13 | 11.46 | 15.50 | 0 | 1.001 |
| alpha0 | NA | 8457 | -5.884 | -5.739 | -6.89 | -4.88 | 0 | 1.001 |
| lambda[1] | NA | 7007 | 0.931 | 0.642 | 0.22 | 1.56 | 0 | 1.0008 |
| lambda[2] | NA | 9303 | 0.977 | 0.872 | 0.51 | 1.39 | 0 | 1.001 |
| lambda[3] | NA | 10000 | 0.975 | 0.872 | 0.41 | 1.46 | 0 | 1.001 |
| lambda[4] | NA | 10000 | 0.998 | 0.944 | 0.65 | 1.34 | 0 | 1.001 |
| lambda[5] | NA | 9483 | 0.982 | 0.928 | 0.51 | 1.39 | 0 | 1.001 |
| N[37] | NA | 9578 | 0.970 | 0 | 0.00 | 2.00 | 1 | err |
| N[53] | NA | 0 | 1.000 | err | 1.00 | 1.00 | err | err |
| N[94] | NA | 0 | 1.000 | err | 1.00 | 1.00 | err | err |
| N[88] | NA | 10000 | 0.974 | 0 | 0.00 | 2.00 | 1 | err |
| N[50] | NA | 0 | 1.000 | err | 1.00 | 1.00 | err | err |
## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero
## Warning: Removed 50 rows containing missing values (geom_bar).
## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero
## Warning: Removed 50 rows containing missing values (geom_bar).
## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero
## Warning: Removed 50 rows containing missing values (geom_bar).